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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combining bioinformatics and machine learning to identify common mechanisms and biomarkers of chronic obstructive pulmonary disease and atrial fibrillation
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, March 2023
|
| DOI | 10.3389/fcvm.2023.1121102 |
| Pubmed ID | |
| Authors |
Ziyi Sun, Jianguo Lin, Tianya Zhang, Xiaoning Sun, Tianlin Wang, Jinlong Duan, Kuiwu Yao |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 17% |
| Student > Postgraduate | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
| Unknown | 4 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 April 2023.
All research outputs
#15,218,774
of 24,593,555 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,057
of 8,521 outputs
Outputs of similar age
#196,038
of 406,099 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#116
of 573 outputs
Altmetric has tracked 24,593,555 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,521 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 406,099 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 573 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.